Leveraging Digital Twin Strategies for Thermal Optimization of 228–230 nm Far-UVC Modules in HealthTech Innovation
摘要
This paper initially explores applying Digital Twin (DT) strategies to advanced technological training for engineering students while integrating the latest developments in Industry 4.0 into research on Solid State Lighting (SSL) technologies. Modules based on AlGaN far-UVC LEDs will serve as the foundation for the development of new products aimed at photonic disinfection and disease prevention. The development of these modules requires a preliminary stage of basic research, which includes the design and fabrication of far-UVC LED crystals. Thermal simulation inputs are provided by an infrared camera that measures the p-contact temperature of the far-UVC LEDs in Japan. This data is then used to inform the simulation system in Chile, enabling precise thermal modeling. This study emphasizes the importance of individual LED performance, as it underpins the functionality of the final device. The following stage, currently under development, extends the DT to analyze the complete thermal performance of the final far-UVC LED module, focusing on heat generation and dissipation within the system. This approach supports the development of photonic disinfection processes, addressing the demand for efficient and reliable far-UVC LED modules for HealthTech applications. 11 mw light output power in a single far-UVC LED has been achieved at Riken, which paw way to the development of 500 mW far-UVC LED module using 50 pieces of LEDs for Healthcare (surgical theater). The ultimate goal is to further improve irradiance distribution, enhance optical efficiency, and extend the LEDs’ lifetime through optimized thermal management in healthcare environments.